Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "54"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = os.environ["ANTENNA"]
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "70" csv_folder = "/home/obs/src/H5C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H5C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, '*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 80 csvs in /home/obs/src/H5C_Notebooks/_rtp_summary_ Found 76 auto_metrics notebooks in /home/obs/src/H5C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
antnum = row['Ant']
if antnum != int(antenna):
continue
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
| JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2459594 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.691679 | 12.077528 | -0.186888 | 80.819659 | -1.021163 | 27.900763 | -1.307045 | 32.529026 | 0.7817 | 0.0805 | 0.4920 | 12.973345 | 1.210176 |
| 2459593 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.301669 | 18.141478 | 0.694962 | 85.724247 | -1.073291 | 37.678068 | -0.692729 | 11.448996 | 0.7070 | 0.0744 | 0.4660 | 6.449126 | 1.219183 |
| 2459592 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 0.511687 | 1.509094 | -0.028133 | 7.398878 | -1.274389 | 2.087865 | -1.848515 | 0.587457 | 0.0408 | 0.0315 | 0.0017 | nan | nan |
| 2459591 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.524851 | 21.285315 | 0.590984 | 99.548200 | -0.211716 | 32.180000 | -0.196168 | 2.350415 | 0.6110 | 0.0538 | 0.4239 | 7.328848 | 1.247494 |
| 2459590 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.305226 | 24.646138 | 0.298691 | 92.780237 | -1.627406 | 34.873459 | -0.660638 | 4.682512 | 0.6114 | 0.0576 | 0.4244 | 6.215385 | 1.253672 |
| 2459589 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.840364 | 22.347722 | 0.192160 | 85.965394 | -0.235130 | 21.982112 | -0.858927 | 17.021001 | 0.6847 | 0.0787 | 0.4267 | 5.520191 | 1.187465 |
| 2459588 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 215.483883 | 215.578289 | inf | inf | 22.535495 | 25.392679 | 21.440174 | 19.715039 | nan | nan | nan | 0.000000 | 0.000000 |
| 2459587 | digital_ok | 100.00% | - | - | - | 100.00% | 0.00% | -0.515530 | 22.682835 | 5.786595 | 134.239415 | -23.333991 | -23.858603 | -4.675000 | -4.393628 | nan | nan | nan | 0.000000 | 0.000000 |
| 2459586 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.624774 | 19.965464 | -0.717903 | 32.349231 | -1.098370 | 11.495577 | -0.510561 | 6.768178 | 0.6186 | 0.0571 | 0.4164 | 6.530931 | 1.232616 |
| 2459585 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.640967 | 25.299665 | -0.550754 | 10.889751 | -0.639190 | 10.170060 | -0.048384 | 4.668011 | 0.0338 | 0.0343 | 0.0028 | 0.000000 | 0.000000 |
| 2459584 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | 3.428239 | 26.909698 | 0.274007 | 115.094992 | 2.278354 | 18.743526 | 26.591013 | 27.747660 | 0.5713 | 0.0436 | 0.3798 | 0.000000 | 0.000000 |
| 2459583 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.517093 | 20.225965 | -0.794884 | 35.593779 | -1.176103 | 23.302568 | 1.494293 | 0.525580 | 0.6194 | 0.0512 | 0.4279 | 0.000000 | 0.000000 |
| 2459582 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.783156 | 17.438413 | -0.329193 | 32.365520 | -1.387480 | 28.357605 | -0.279936 | 0.593873 | 0.6070 | 0.0431 | 0.4291 | 4.438189 | 1.174636 |
| 2459581 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.805000 | 24.106799 | -1.048957 | 36.509895 | -1.020422 | 22.831308 | 0.219237 | 0.655406 | 0.6263 | 0.0524 | 0.4216 | 5.076330 | 1.225732 |
| 2459580 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459579 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459578 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.337834 | 1.539714 | -0.796908 | 2.698847 | -0.645941 | 0.568103 | 1.779894 | 2.345819 | 0.0388 | 0.0344 | 0.0011 | nan | nan |
| 2459577 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.920613 | 23.265797 | -0.955887 | 34.136300 | -0.997094 | 24.918758 | -0.138699 | 0.636400 | 0.6222 | 0.0521 | 0.4357 | 4.378061 | 1.193866 |
| 2459576 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.438018 | 17.964512 | -0.761643 | 27.395313 | -0.570719 | 22.002430 | -0.307314 | 1.400489 | 0.6351 | 0.0563 | 0.3960 | 7.213787 | 1.204220 |
| 2459575 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.853658 | 18.738633 | -0.819815 | 27.179235 | -0.379004 | 16.957566 | -0.822958 | 5.906314 | 0.7163 | 0.0668 | 0.4571 | 6.062972 | 1.140294 |
| 2459574 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.643962 | 16.983633 | -0.957844 | 26.018500 | -0.392309 | 24.301857 | -0.773642 | 0.856722 | 0.6380 | 0.0509 | 0.3792 | 4.737023 | 1.195977 |
| 2459573 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.485457 | 17.550230 | -0.595619 | 44.745359 | -0.931941 | 28.208793 | -0.285781 | 1.846537 | 0.6329 | 0.0508 | 0.3856 | 6.086715 | 1.041125 |
| 2459572 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.731812 | 17.655244 | -0.754644 | 26.181738 | -1.062208 | 18.030109 | -0.046614 | 3.088898 | 0.6326 | 0.0525 | 0.3937 | 5.766889 | 1.246846 |
| 2459571 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.112464 | 1.234128 | -0.721447 | 2.786199 | -1.042545 | 0.929880 | 0.220802 | 2.644745 | 0.0337 | 0.0356 | 0.0012 | nan | nan |
| 2459570 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459569 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.762173 | 21.121130 | -0.923157 | 33.962087 | -1.115784 | 10.393515 | -1.076852 | 8.746010 | 0.7431 | 0.1005 | 0.4257 | 6.526992 | 1.227621 |
| 2459566 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.839322 | 17.042457 | -0.879780 | 33.941199 | -1.136542 | 21.553605 | -0.489896 | 0.031536 | 0.6215 | 0.0468 | 0.3752 | 3.528100 | 1.161254 |
| 2459565 | digital_ok | 0.00% | - | - | - | 93.33% | 0.00% | -1.185954 | -1.185954 | -1.077553 | -1.077553 | -0.891166 | -0.891166 | -0.958079 | -0.958079 | nan | nan | nan | 0.000000 | 0.000000 |
| 2459564 | digital_ok | 0.00% | 0.00% | 91.96% | 0.00% | 95.38% | 4.62% | 1.491114 | 2.935452 | 1.571537 | 2.804450 | -0.641229 | 0.074590 | -1.625990 | -1.636119 | 0.6335 | 0.3264 | 0.2396 | 3.891939 | 3.553320 |
| 2459563 | digital_ok | 100.00% | 0.00% | 93.46% | 0.00% | 100.00% | 0.00% | 5.199254 | 7.056703 | 21.114694 | 23.754075 | 10.237398 | 15.287827 | -1.394899 | -1.741577 | 0.6225 | 0.3105 | 0.2409 | 6.266171 | 2.724369 |
| 2459562 | digital_ok | 0.00% | 0.00% | 94.10% | 0.00% | 97.30% | 2.70% | 0.598908 | 1.811550 | 0.321395 | 0.932952 | -0.934181 | 0.215830 | -1.022483 | -1.058843 | 0.6294 | 0.3244 | 0.2289 | 3.801997 | 3.342347 |
| 2459561 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.86% | 95.14% | 1.166057 | 1.590404 | 0.828021 | 1.120917 | -0.777290 | -0.176845 | -1.956699 | -1.801464 | 0.6362 | 0.6435 | 0.3334 | 6.587538 | 9.059433 |
| 2459560 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.86% | 95.14% | 0.681416 | 1.210206 | 0.433323 | 0.909686 | -0.667642 | 0.295125 | -1.341585 | -1.423586 | 0.6154 | 0.6181 | 0.3427 | 4.433379 | 8.718503 |
| 2459559 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.38% | 94.62% | 1.276068 | 1.809836 | 1.004114 | 1.354278 | -0.378199 | 0.740283 | -1.449697 | -1.130159 | 0.6314 | 0.6372 | 0.3282 | 3.325396 | 7.659300 |
| 2459558 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 5.080372 | 5.887826 | 11.363654 | 11.642713 | 11.127581 | 14.301584 | -1.719181 | -0.882898 | 0.6295 | 0.6279 | 0.3336 | 3.305481 | 8.263354 |
| 2459557 | digital_ok | - | 100.00% | 100.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.0381 | 0.0410 | 0.0025 | nan | nan |
| 2459556 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 5.556898 | 6.316697 | 11.895787 | 11.962188 | 10.175062 | 12.867178 | -2.811779 | -2.521987 | 0.6374 | 0.6351 | 0.3259 | 4.890108 | 8.050115 |
| 2459554 | digital_ok | - | 0.00% | 0.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.6209 | 0.6058 | 0.3298 | nan | nan |
| 2459553 | digital_ok | - | 0.00% | 0.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.6276 | 0.6138 | 0.3247 | nan | nan |
| 2459552 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 6.331561 | 6.890907 | 15.534995 | 16.571127 | 16.218662 | 19.636151 | 0.304355 | 0.374378 | 0.6434 | 0.6408 | 0.3309 | 0.000000 | 0.000000 |
| 2459551 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.38% | 94.62% | 0.978767 | 1.432459 | 0.774394 | 1.141778 | -1.044493 | 0.319637 | -1.748228 | -1.304541 | 0.6328 | 0.6306 | 0.3264 | 3.984176 | 7.884282 |
| 2459550 | digital_ok | - | 97.53% | 97.53% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.0514 | 0.0508 | 0.0033 | nan | nan |
| 2459549 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 5.001135 | 5.661030 | 11.436380 | 12.152284 | 11.089011 | 13.955088 | -1.810645 | -1.823838 | 0.6338 | 0.6351 | 0.3338 | 3.017836 | 8.612274 |
| 2459542 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 5.342353 | 5.864645 | 22.669371 | 24.393076 | 0.258127 | 0.919061 | -1.713527 | -0.312721 | 0.6945 | 0.6917 | 0.2994 | 2.735990 | 7.129441 |
| 2459541 | digital_ok | 100.00% | 1.34% | 1.34% | 0.00% | 100.00% | 0.00% | 5.015378 | 4.834523 | 14.280369 | 14.291130 | 8.821458 | 11.087964 | 3.832279 | 4.444439 | 0.6957 | 0.6879 | 0.2763 | 4.580169 | 6.965315 |
| 2459540 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 21.88% | 78.12% | 2.275528 | 2.427890 | 2.228265 | 2.358675 | -0.070704 | 0.741609 | -0.911014 | -0.445006 | 0.6999 | 0.6910 | 0.2964 | 3.794176 | 7.734817 |
| 2459536 | digital_ok | 100.00% | 37.06% | 37.06% | 0.00% | 100.00% | 0.00% | 7.822093 | 8.652239 | 19.066822 | 19.880937 | 17.221027 | 19.706689 | -2.574068 | -1.504656 | 0.4235 | 0.4303 | 0.2090 | 2.524264 | 3.366968 |
| 2459535 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 1.690068 | 1.799507 | 1.736751 | 2.053729 | -0.619624 | 0.442724 | -1.443042 | -1.113844 | 0.0613 | 0.0669 | 0.0108 | 1.166358 | 1.174950 |
| 2459534 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.888455 | 1.483486 | 0.775264 | 1.236094 | -1.108120 | -0.360903 | -1.100465 | -1.028893 | 0.0691 | 0.0854 | 0.0133 | 1.162055 | 1.160882 |
| 2459533 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 5.643117 | 6.328057 | 11.782019 | 12.423086 | 9.140689 | 12.625275 | -1.963871 | -1.881126 | 0.0642 | 0.0830 | 0.0132 | 1.180534 | 1.184757 |
| 2459532 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 6.738960 | 7.266506 | 15.492576 | 15.834470 | 11.965821 | 15.154569 | -1.402699 | -1.658705 | 0.0612 | 0.0810 | 0.0146 | 1.021220 | 1.019510 |
| 2459530 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.890556 | 1.370841 | 0.713328 | 0.952585 | -0.944744 | 0.198731 | -1.585813 | -0.925327 | 0.0716 | 0.0863 | 0.0169 | 1.143310 | 1.146679 |
| 2459527 | digital_ok | 0.00% | - | - | - | 100.00% | 0.00% | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459524 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 6.454809 | 7.576286 | 12.551637 | 13.201163 | 24.540906 | 21.344407 | -1.637439 | -0.917988 | 0.9125 | 0.9376 | 0.2726 | 0.000000 | 0.000000 |
| 2459523 | digital_ok | 100.00% | - | - | - | 100.00% | 0.00% | 6.326849 | 6.938523 | 17.104390 | 18.410510 | 9.958509 | 17.244544 | -4.769483 | -4.533381 | nan | nan | nan | 7.400965 | 17.269019 |
| 2459522 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 6.203385 | 6.031502 | 15.684180 | 15.639047 | 5.716146 | 14.017198 | -2.392641 | -1.770782 | 0.7089 | 0.6926 | 0.3113 | 5.161157 | 10.352013 |
| 2459513 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 4.724768 | 4.851002 | 6.643091 | 7.835056 | 2.545713 | -1.026173 | 0.362123 | 0.420290 | 0.0389 | 0.0402 | 0.0075 | nan | nan |
| 2459508 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 6.300704 | 7.807620 | 10.054158 | 10.225660 | 9.922899 | 8.562959 | 8.914283 | 11.384246 | 0.0627 | 0.0825 | 0.0064 | 0.000000 | 0.000000 |
| 2459505 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 68.779414 | 107.375987 | 106.304816 | 107.270539 | 117.793341 | 77.038732 | 657.779668 | 512.488239 | 0.0069 | 0.0064 | 0.0020 | 1.106594 | 1.103004 |
auto_metrics notebooks.¶html_to_display = ''
for am_html in auto_metric_htmls:
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
break
These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD).
HTML(html_to_display)
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Power | 88.728480 | -0.649375 | 20.752958 | 1.040708 | 88.728480 | -1.208920 | 12.835623 | -0.603610 | 3.090227 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Power | 106.338032 | 22.262680 | -0.423737 | 106.338032 | 1.345974 | 26.014106 | -1.149312 | 12.454481 | -0.155486 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Power | 83.131046 | -0.478752 | 22.474160 | 0.662666 | 83.131046 | -1.256041 | 36.268760 | 1.895329 | 9.459139 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Power | 93.492842 | 21.178695 | -0.694886 | 93.492842 | 0.419196 | 30.425394 | -1.277095 | 9.495635 | 0.463489 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Power | inf | 315.730036 | 314.747802 | inf | inf | 50.103654 | 56.759851 | 389.372977 | 611.443856 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Power | inf | 392.392119 | 392.610772 | inf | inf | 29.674921 | 31.592982 | 173.892073 | 176.151058 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Power | 80.819659 | 0.691679 | 12.077528 | -0.186888 | 80.819659 | -1.021163 | 27.900763 | -1.307045 | 32.529026 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Power | 85.724247 | -0.301669 | 18.141478 | 0.694962 | 85.724247 | -1.073291 | 37.678068 | -0.692729 | 11.448996 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Power | 7.398878 | 1.509094 | 0.511687 | 7.398878 | -0.028133 | 2.087865 | -1.274389 | 0.587457 | -1.848515 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Power | 99.548200 | 21.285315 | -0.524851 | 99.548200 | 0.590984 | 32.180000 | -0.211716 | 2.350415 | -0.196168 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Power | 92.780237 | -0.305226 | 24.646138 | 0.298691 | 92.780237 | -1.627406 | 34.873459 | -0.660638 | 4.682512 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Power | 85.965394 | 22.347722 | -0.840364 | 85.965394 | 0.192160 | 21.982112 | -0.235130 | 17.021001 | -0.858927 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | ee Power | inf | 215.483883 | 215.578289 | inf | inf | 22.535495 | 25.392679 | 21.440174 | 19.715039 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Power | 134.239415 | 22.682835 | -0.515530 | 134.239415 | 5.786595 | -23.858603 | -23.333991 | -4.393628 | -4.675000 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Power | 32.349231 | -0.624774 | 19.965464 | -0.717903 | 32.349231 | -1.098370 | 11.495577 | -0.510561 | 6.768178 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Shape | 25.299665 | -0.640967 | 25.299665 | -0.550754 | 10.889751 | -0.639190 | 10.170060 | -0.048384 | 4.668011 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Power | 115.094992 | 3.428239 | 26.909698 | 0.274007 | 115.094992 | 2.278354 | 18.743526 | 26.591013 | 27.747660 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Power | 35.593779 | -0.517093 | 20.225965 | -0.794884 | 35.593779 | -1.176103 | 23.302568 | 1.494293 | 0.525580 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Power | 32.365520 | 17.438413 | -0.783156 | 32.365520 | -0.329193 | 28.357605 | -1.387480 | 0.593873 | -0.279936 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Power | 36.509895 | -0.805000 | 24.106799 | -1.048957 | 36.509895 | -1.020422 | 22.831308 | 0.219237 | 0.655406 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Power | 2.698847 | -0.337834 | 1.539714 | -0.796908 | 2.698847 | -0.645941 | 0.568103 | 1.779894 | 2.345819 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Power | 34.136300 | 23.265797 | -0.920613 | 34.136300 | -0.955887 | 24.918758 | -0.997094 | 0.636400 | -0.138699 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Power | 27.395313 | 17.964512 | -0.438018 | 27.395313 | -0.761643 | 22.002430 | -0.570719 | 1.400489 | -0.307314 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Power | 27.179235 | 18.738633 | -0.853658 | 27.179235 | -0.819815 | 16.957566 | -0.379004 | 5.906314 | -0.822958 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Power | 26.018500 | -0.643962 | 16.983633 | -0.957844 | 26.018500 | -0.392309 | 24.301857 | -0.773642 | 0.856722 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Power | 44.745359 | 17.550230 | -0.485457 | 44.745359 | -0.595619 | 28.208793 | -0.931941 | 1.846537 | -0.285781 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Power | 26.181738 | 17.655244 | -0.731812 | 26.181738 | -0.754644 | 18.030109 | -1.062208 | 3.088898 | -0.046614 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Power | 2.786199 | 1.234128 | -0.112464 | 2.786199 | -0.721447 | 0.929880 | -1.042545 | 2.644745 | 0.220802 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Power | 33.962087 | 21.121130 | -0.762173 | 33.962087 | -0.923157 | 10.393515 | -1.115784 | 8.746010 | -1.076852 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Power | 33.941199 | 17.042457 | -0.839322 | 33.941199 | -0.879780 | 21.553605 | -1.136542 | 0.031536 | -0.489896 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Temporal Variability | -0.891166 | -1.185954 | -1.185954 | -1.077553 | -1.077553 | -0.891166 | -0.891166 | -0.958079 | -0.958079 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Shape | 2.935452 | 1.491114 | 2.935452 | 1.571537 | 2.804450 | -0.641229 | 0.074590 | -1.625990 | -1.636119 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Power | 23.754075 | 5.199254 | 7.056703 | 21.114694 | 23.754075 | 10.237398 | 15.287827 | -1.394899 | -1.741577 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Shape | 1.811550 | 0.598908 | 1.811550 | 0.321395 | 0.932952 | -0.934181 | 0.215830 | -1.022483 | -1.058843 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Shape | 1.590404 | 1.166057 | 1.590404 | 0.828021 | 1.120917 | -0.777290 | -0.176845 | -1.956699 | -1.801464 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Shape | 1.210206 | 0.681416 | 1.210206 | 0.433323 | 0.909686 | -0.667642 | 0.295125 | -1.341585 | -1.423586 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Shape | 1.809836 | 1.276068 | 1.809836 | 1.004114 | 1.354278 | -0.378199 | 0.740283 | -1.449697 | -1.130159 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Temporal Variability | 14.301584 | 5.887826 | 5.080372 | 11.642713 | 11.363654 | 14.301584 | 11.127581 | -0.882898 | -1.719181 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Temporal Variability | 12.867178 | 6.316697 | 5.556898 | 11.962188 | 11.895787 | 12.867178 | 10.175062 | -2.521987 | -2.811779 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Temporal Variability | 19.636151 | 6.890907 | 6.331561 | 16.571127 | 15.534995 | 19.636151 | 16.218662 | 0.374378 | 0.304355 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Shape | 1.432459 | 1.432459 | 0.978767 | 1.141778 | 0.774394 | 0.319637 | -1.044493 | -1.304541 | -1.748228 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Temporal Variability | 13.955088 | 5.001135 | 5.661030 | 11.436380 | 12.152284 | 11.089011 | 13.955088 | -1.810645 | -1.823838 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Power | 24.393076 | 5.864645 | 5.342353 | 24.393076 | 22.669371 | 0.919061 | 0.258127 | -0.312721 | -1.713527 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Power | 14.291130 | 4.834523 | 5.015378 | 14.291130 | 14.280369 | 11.087964 | 8.821458 | 4.444439 | 3.832279 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Shape | 2.427890 | 2.427890 | 2.275528 | 2.358675 | 2.228265 | 0.741609 | -0.070704 | -0.445006 | -0.911014 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Power | 19.880937 | 8.652239 | 7.822093 | 19.880937 | 19.066822 | 19.706689 | 17.221027 | -1.504656 | -2.574068 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Power | 2.053729 | 1.690068 | 1.799507 | 1.736751 | 2.053729 | -0.619624 | 0.442724 | -1.443042 | -1.113844 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Shape | 1.483486 | 1.483486 | 0.888455 | 1.236094 | 0.775264 | -0.360903 | -1.108120 | -1.028893 | -1.100465 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Temporal Variability | 12.625275 | 5.643117 | 6.328057 | 11.782019 | 12.423086 | 9.140689 | 12.625275 | -1.963871 | -1.881126 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Power | 15.834470 | 6.738960 | 7.266506 | 15.492576 | 15.834470 | 11.965821 | 15.154569 | -1.402699 | -1.658705 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Shape | 1.370841 | 1.370841 | 0.890556 | 0.952585 | 0.713328 | 0.198731 | -0.944744 | -0.925327 | -1.585813 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Shape | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | ee Temporal Variability | 24.540906 | 6.454809 | 7.576286 | 12.551637 | 13.201163 | 24.540906 | 21.344407 | -1.637439 | -0.917988 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Power | 18.410510 | 6.326849 | 6.938523 | 17.104390 | 18.410510 | 9.958509 | 17.244544 | -4.769483 | -4.533381 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | ee Power | 15.684180 | 6.031502 | 6.203385 | 15.639047 | 15.684180 | 14.017198 | 5.716146 | -1.770782 | -2.392641 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Power | 7.835056 | 4.851002 | 4.724768 | 7.835056 | 6.643091 | -1.026173 | 2.545713 | 0.420290 | 0.362123 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Temporal Discontinuties | 11.384246 | 7.807620 | 6.300704 | 10.225660 | 10.054158 | 8.562959 | 9.922899 | 11.384246 | 8.914283 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | nn Temporal Discontinuties | 1724.392002 | 53.970251 | 124.116388 | 140.577306 | 176.363600 | 39.365335 | 77.095638 | 1443.062275 | 1724.392002 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 | 4 | digital_ok | ee Temporal Discontinuties | 657.779668 | 107.375987 | 68.779414 | 107.270539 | 106.304816 | 77.038732 | 117.793341 | 512.488239 | 657.779668 |